SOLUTION ARCHITECT L1

Senior Architect- Gen AI

Senior Technical Architect – AI-Native Enterprise Platform

10+ Years Experience | Agentic AI | LLM | FastAPI | Multi-Cloud | ITSM

About the Role

We are looking for a Senior Technical Architect with 10+ years of experience to lead the architecture of a next-generation, AI-native enterprise platform powering intelligent IT operations, managed services automation, and agentic AI workflows. This is a hands-on leadership role requiring deep expertise in Agentic AI, LLMs, FastAPI microservices, multi-cloud infrastructure, and ITSM integrations.

Key Responsibilities

• Define and own the end-to-end platform architecture covering AI agents, LLM/RAG pipelines, data stores, API services, security, and cloud infrastructure.
• Architect and govern Agentic AI frameworks including multi-agent workflows, LLM Gateway (Claude, GPT-4o, Llama), RAG pipelines, and AI guardrails for enterprise-grade reliability.
• Lead design of FastAPI-based microservices, RESTful/GraphQL APIs, and API Gateway standards across a high-performance, multi-tenant platform.
• Design a multi-tiered data architecture spanning PostgreSQL, pgvector, Redis, MongoDB, Neo4j, InfluxDB, and Delta Lake for structured, unstructured, and vector data.
• Drive multi-cloud strategy across AWS, Azure, and GCP, leveraging cloud-native services including Bedrock, Azure OpenAI, and Vertex AI.
• Define ITSM integration architecture with platforms such as ServiceNow, Jira, and Remedy, along with observability tools like Splunk, Dynatrace, and Grafana.
• Enforce Zero Trust security, OAuth2/JWT authentication, RBAC/ABAC, HashiCorp Vault, and AI governance standards.
• Champion DevSecOps practices including CI/CD pipelines, Docker, Kubernetes, Terraform, and automated testing.
• Mentor senior engineers and architects, drive technical governance, and present strategies to executive and enterprise stakeholders.

Required Skills

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Area of Responsibility

Requirement Analysis-Participate in requirement discussions with client stakeholders to define solution and implementation level needs basis the business requirements.

Designing-Create solution architecture designs to meet cross-system interactions and business logic integration requirements, ensuring system cohesion across multiple applications.

Integration assessment and support-Assess and evaluate interactions across multiple applications by evaluating implementation dependencies and integration requirements.

Troubleshooting-Support validation of solution components during implementation and ensures the solution functions as designed.

Risk Analysis and Assessment-Assist in identifying potential risks by evaluating system performance of implemented architectural solutions, to ensure efficient system landscape.

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